eaminer VS dpnp

Compare eaminer vs dpnp and see what are their differences.

eaminer

Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends (by Ethereum-Anywhere)
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eaminer dpnp
1 1
4 91
- -
1.8 9.5
over 2 years ago 5 days ago
C++ Python
GNU General Public License v3.0 only BSD 2-clause "Simplified" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

eaminer

Posts with mentions or reviews of eaminer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-14.

dpnp

Posts with mentions or reviews of dpnp. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning dpnp yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing eaminer and dpnp you can also consider the following projects:

mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)

numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.

ethminer - Maetti's Fork (Ethereum) + Altera/Intel OpenCL(FPGA)

cupy - NumPy & SciPy for GPU

ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

ea - Ethereum (ethash) miner with SYCL (HIP, CUDA, Intel GPUs, OpenMP,...), OpenCL, CUDA and stratum support

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

matchering - 🎚️ Open Source Audio Matching and Mastering